Use case
Manufacturing procurement and quoting staff receive part drawings and parts lists, then must request quotes from several job shops, compare them and confirm lead times before placing orders and scheduling delivery.
The current alternative is procurement staff emailing, calling and tabulating quotes from each supplier by hand, with drawings and part data maintained separately across departments, locations and systems.
Public material only states that CADDi connects manufacturing data fragmented across departments, locations and systems into an analyzable asset, without directly describing quoting pain; inferred from the workflow, sending requests one by one, waiting for replies and manually normalizing quote formats lengthens the quoting cycle, while fragmented drawing and part data causes inconsistent part definitions across steps.
xOcto's call
Demand is evidenced
Trend: drawing interpretation and supplier matching in manufacturing are moving from veteran know-how and email back-and-forth toward machine-readable workflows. Entry: start at the quoting step for small machine shops and charge per won order or per quote rather than per seat; begin with one process such as sheet metal or CNC manufacturability checks, then expand categories.
Reason to use it
Why users would choose it
Inference: compared with sending requests one by one and manually consolidating replies, CADDi reads and connects fragmented drawing and part data, automatically matches capable suppliers and returns quotes and lead times, removing the steps of per-supplier requests and manual quote normalization; therefore procurement teams at manufacturers with high-mix parts, scattered suppliers and drawing data spread across systems would choose it when they need comparable quotes quickly
Where the easy answer breaks down
The tension worth following
An English validation note will follow from the public evidence.
If this is your job
Investigate further. Inference: compared with sending requests one by one and manually consolidating replies, CADDi reads and connects fragmented drawing and part data, automatically matches capable suppliers and returns quotes and lead times, removing the steps of per-supplier requests and manual quote normalization; therefore procurement teams at manufacturers with high-mix parts, scattered suppliers and drawing data spread across systems would choose it when they need comparable quotes quickly
Entry and what to borrow
Trend: drawing interpretation and supplier matching in manufacturing are moving from veteran know-how and email back-and-forth toward machine-readable workflows. Entry: start at the quoting step for small machine shops and charge per won order or per quote rather than per seat; begin with one process such as sheet metal or CNC manufacturability checks, then expand categories.